Department of Child and Adolescent Psychiatry, Bingol Obstetrics and Gynecology and Child Diseases Hospital, Bingol, Turkey.
Department of Psychiatry, Firat University School of Medicine, Elazig, Turkey.
Brain Behav. 2024 Nov;14(11):e70137. doi: 10.1002/brb3.70137.
The prevalence of smartphone usage is steadily rising, leading to the potential development of addiction due to problematic use. This study examined the relationship between smartphone addiction, self-perceived attention deficit and hyperactivity symptoms, and sleep quality among 443 university students at Bingöl University.
Participants completed several questionnaires, including the Smartphone Addiction Scale-Short Version, the Pittsburgh Sleep Quality Index, and the Adult ADHD Self-Report Scale.
This study examined 443 participants, with a mean age of 20.97 ± 3.29, of whom 72.7% (n = 322) were female. Results showed that the majority of participants primarily used smartphones (94.8%, n = 420) for social media browsing (49.9%, n = 221). Factors such as smoking, preference for smartphone screens, and prolonged screen exposure significantly affected sleep quality. Smartphone addiction rates were notable, with 50.4% (n = 61) of males and 47.2% (n = 152) of females being affected; this addiction was associated with poorer sleep quality. Correlations were found between age, sleep duration, and scores on smartphone addiction, sleep quality, and attention deficit scales. Linear regression analysis revealed that age, attention deficit scores, and sleep quality scores significantly influenced levels of smartphone addiction.
These findings contribute valuable insights into the impact of smartphone addiction on attention and sleep in university students.
智能手机的使用普及率稳步上升，这可能导致由于使用不当而产生的成瘾问题。本研究调查了智能手机成瘾、自我感知的注意力缺陷和多动症状与比格尔大学 443 名大学生睡眠质量之间的关系。
参与者完成了几个问卷，包括智能手机成瘾量表-短版、匹兹堡睡眠质量指数和成人 ADHD 自评量表。
本研究共调查了 443 名参与者，平均年龄为 20.97±3.29 岁，其中 72.7%（n=322）为女性。结果表明，大多数参与者主要使用智能手机（94.8%，n=420）进行社交媒体浏览（49.9%，n=221）。吸烟、智能手机屏幕偏好和长时间屏幕暴露等因素显著影响睡眠质量。智能手机成瘾率显著，其中 50.4%（n=61）的男性和 47.2%（n=152）的女性受到影响；这种成瘾与睡眠质量较差有关。年龄、睡眠时间与智能手机成瘾、睡眠质量和注意力缺陷评分之间存在相关性。线性回归分析表明，年龄、注意力缺陷评分和睡眠质量评分显著影响智能手机成瘾水平。
这些发现为了解智能手机成瘾对大学生注意力和睡眠的影响提供了有价值的见解。
